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- W1515750003 abstract "This paper introduces Mean Field Games (MFG) as a framework to develop optimal estimators in some sense for a general class of nonlinear systems. We show that under suitable conditions the estimation error converges exponentially fast to zero. Computer simulations are performed to illustrate the method. In particular we provide an example where the proposed estimator converges whereas both extended Kalman filter and particle filter diverge." @default.
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- W1515750003 date "2011-10-12" @default.
- W1515750003 modified "2023-09-25" @default.
- W1515750003 title "Nonlinear Estimation using Mean Field Games" @default.
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